clean_profile {PrInCE} | R Documentation |
Clean a co-elution/co-fractionation profile by (1) imputing single missing values with the average of neighboring values, (2) replacing missing values with random, near-zero noise, and (3) smoothing with a moving average filter.
clean_profile(chromatogram, impute_NA = TRUE, smooth = TRUE, smooth_width = 4, noise_floor = 0.001)
chromatogram |
a numeric vector corresponding to the chromatogram trace |
impute_NA |
if true, impute single missing values with the average of neighboring values |
smooth |
if true, smooth the chromatogram with a moving average filter |
smooth_width |
width of the moving average filter, in fractions |
noise_floor |
mean value of the near-zero noise to add |
a cleaned profile
data(scott) chrom <- scott[16, ] cleaned <- clean_profile(chrom)